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Full Time Hedge Fund Software Engineer Jobs (NOW HIRING)

... Hedge Fund Accounting experience is preferred. A BookTemps associate has been serving in this position for 2 years on a part-time basis. The position has been elevated to full-time direct hire due to ...

... Hedge Fund Accounting experience is preferred. A BookTemps associate has been serving in this position for 2 years on a part-time basis. The position has been elevated to full-time direct hire due to ...

Data Engineer - New York

New York, NY ยท On-site

$125K - $150K/yr

Data Engineer Location : New York Jain Global is an innovative multi-strategy investment firm ... pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with ...

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Full Time Hedge Fund Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do full time hedge fund software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time hedge fund software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a full time hedge fund software engineer do?

A Full Time Hedge Fund Software Engineer designs, develops, and maintains software systems used by hedge funds to support trading, risk management, data analysis, and portfolio management. Their work often involves building custom trading platforms, integrating market data feeds, optimizing algorithms for speed and efficiency, and ensuring the reliability and security of financial systems. These engineers collaborate closely with traders, quantitative analysts, and other technology teams to deliver solutions that give the hedge fund a competitive edge. They typically use programming languages such as Python, C++, or Java and work in fast-paced, high-stakes environments.

What are the key skills and qualifications needed to thrive as a full time hedge fund software engineer?

To thrive as a Full Time Hedge Fund Software Engineer, you need strong programming skills (commonly in Python, C++, or Java), a solid background in computer science, and often a degree in a related field such as Computer Science, Mathematics, or Engineering. Familiarity with financial systems, databases (like SQL), version control (Git), and experience with low-latency or high-performance computing are highly valued, and certifications in cloud computing or finance can be advantageous. Critical soft skills include problem-solving, attention to detail, effective communication, and the ability to work collaboratively in high-pressure environments. These skills are crucial for developing robust, efficient trading systems and ensuring technology reliably supports complex investment strategies.

What are some common challenges full time hedge fund software engineers face when working with real-time trading systems?

Full Time Hedge Fund Software Engineers often encounter challenges related to ensuring the reliability, speed, and scalability of real-time trading systems. The fast-paced nature of financial markets requires robust solutions that can handle large amounts of data with minimal latency. Engineers must also adapt quickly to evolving business requirements and collaborate closely with traders and quantitative analysts to implement and optimize trading strategies. Additionally, maintaining system security and complying with industry regulations are ongoing concerns.

What is the difference between Full Time Hedge Fund Software Engineer vs Quantitative Analyst?

AspectFull Time Hedge Fund Software EngineerQuantitative Analyst
Required CredentialsBachelor's/Master's in Computer Science, Engineering, or related fields; coding skillsDegree in Mathematics, Statistics, or Finance; strong analytical skills
Work EnvironmentDevelops trading systems, algorithms, and infrastructure within hedge fundsBuilds mathematical models and strategies to inform trading decisions
Industry UsageCommonly employed in hedge funds for technology developmentUsed across hedge funds and asset management firms for strategy development

While both roles operate within hedge funds, Full Time Hedge Fund Software Engineers focus on building and maintaining trading systems and infrastructure, requiring strong programming skills. Quantitative Analysts primarily develop mathematical models and trading strategies, emphasizing analytical and statistical expertise. Both roles are essential but differ in their core responsibilities and skill sets.

More about Full Time Hedge Fund Software Engineer jobs

What cities are hiring for Full Time Hedge Fund Software Engineer jobs?

Cities with the most Full Time Hedge Fund Software Engineer job openings:

What are the most commonly searched types of Hedge Fund Software Engineer jobs?

The most popular types of Hedge Fund Software Engineer jobs are:

What states have the most Full Time Hedge Fund Software Engineer jobs?

States with the most job openings for Full Time Hedge Fund Software Engineer jobs include:

Infographic showing various Full Time Hedge Fund Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Linux Engineer | London / NYC- Global Hedge Fund

Oxford Knight

Manhattan, NY โ€ข On-site

Full-time

Re-posted 15 days ago


Job description

Location: New York or London
Salary: 200-500k usd
Summary
A multi-strategy hedge fund focused on delivering consistent returns through innovative trading strategies, robust risk management, and cutting-edge technology. As they scale, they're seeking a pragmatic Linux Engineer to join a successful and growing team.
In this pivotal role, you will architect and execute strategic changes to the Linux environment as well as oversee maintenance of that environment. Your main responsibility will be supporting the fund's expansion, including new trading types, locations, and deployment mechanisms for software teams. Additionally, you'll also ensure low-latency trading applications run seamlessly across the global network of co-location sites.
Requirements
  • 5+ years' hands-on Linux experience, with exposure to both Debian and RHEL preferred
  • Expertise in performance analysis and kernel tuning, particularly as it relates to low-latency systems
  • Ability to use Python and Ansible to fully automate deployment, with knowledge of Nix/NixOS a plus
  • Working knowledge of networking, storage, and clustering technologies
  • Bachelor's degree in Computer Science (or related field)
  • Previous experience within Financial Services is a plus

Benefits
  • Competitive base salaries and performance-based bonuses
  • Very collaborative culture, ideas are implemented
  • Work with passionate, forward-thinking, incredibly smart people

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you are a strong match for this role, please don't hesitate to get in touch:
Dominic Copsey
dominic.copsey@oxfordknight.co.uk
+44 (0) 203 475 7193
linkedin.com/in/dom-copsey-586478143/